An extension of this is Conway's law which may tend to force us to create work which not only reflects us, but which becomes us.

The relationship with tools becomes a two way street between us and the tool as well as the tools which interpose all of us (humanity).

What might this mean for our relationship with Artificial Intelligence? Will our laziness with respect to thinking turn us into non-thinkers who rely on a tool not actually able to think?

(via me at https://old.reddit.com/r/typewriters/comments/1wjidrf/what_words_could_we_use_to_better_describe_the/pamjdv3/)

for - key insight / quote - the reason to love your neighbor - Donald Hoffman - The reason to love your neighbor as yourself is because - your neighbor IS YOUR (TRUE) SELF, just with a different headset. - And the only reason we have problems is - we don't realize how incredible you are. - So you are that which is creating this VR simulation with all of its beauty, all of its complexity. - All the complexity is you and you're doing it effortlessly.

adjacency - infinite intelligence - hologram metaphor - your neighbor is your (true) self - Deep Humanity motto - Join together (instead of Join us) - face behind the mask - Reflecting on this, it occurred to me that the Deep Humanity motto of "Join together, NOT join me/us" is deeply connected to what is being discussed in this annotation. - The problem with "joining me" is that it reflects we are still stuck in the ego reification paradigm while "join together" reflects awareness that the boundless intelligence is the true face behind the mask of each different species and each different individual of each species

for - report - America's Superintelligence Project - definition - ASI - Artificial Super Intelligence

summary - What is the cost of mistrust between nation states? - The mistrust between the US and China is reaching an all-tie high and it has disastrous consequences for an AI arms race - It is driving each country to move fast and break things, which will become an existential threat to all humanity - Deep Humanity, with an important dimension of progress traps can help us navigate ASI

for

• quote - AI super intelligence is too dangerous, narrow AI can give us most of what we need - Roman Yampolskiy

quote - AI super intelligence is too dangerous, narrow AI can give us most of what we need - Roman Yampolskiy - (see below) - I don’t think it’s possible to indefinitely control superintelligence. - By definition, it’s smarter than you: - It learns faster, - it acts faster, - it will change faster. - You will have malevolent actors modifying it. - We have no precedent of lower capability agents indefinitely staying in charge of more capable agents. - Until some company or scientist says - ‘Here’s the proof! We can definitely have a safety mechanism that can scale to any level of intelligence,’ - I don’t think we should be developing those general superintelligences. - We can get most of the benefits we want from narrow AI, - systems designed for specific tasks: - develop a drug, - drive a car. - They don’t have to be smarter than the smartest of us combined.

// - Comment - Roman Yampolskiy is right. The fact that the industry is pushing ahead full speed with b developing AGI, effectively the same as the AI superintelligence Roman Yampolskiy is referring to - shows the most dangerous pathology of neo capitalism and Technofeudalism, profit over everything else - This feature is a major driver of progress traps

//

Borger, J. (2021, October 29). Covid bioweapon claims ‘scientifically invalid’, US intelligence reports. The Guardian. https://www.theguardian.com/world/2021/oct/29/us-intelligence-report-covid-origins

Cohen, J. (2021, August 27). COVID-19’s origins still uncertain, U.S. intelligence agencies conclude. Science. https://www.science.org/content/article/covid-19-s-origins-still-uncertain-us-intelligence-agencies-conclude

Intelligence checks is very concerning here as it suggests pretty much what has already been leaked, that the US is running complex autonomous screening of all of this data all the time. This also opens up the possibility for discriminatory algorithms since most of these are probably rooted in machine learning techniques and the criminal justice system in the US today tends to be fairly biased towards certain groups of people to begin with.